**Job Summary** We are looking for an **Associate Data & AI Engineer (G9)** with a solid foundation in **data engineering on Azure** and growing experience in **Generative AI technologies** such as RAG and LLM-based solutions. This is an **individual contributor role** suited for a candidate who is eager to **expand their expertise across data engineering and AI** , working on contemporary data platforms and emerging AI use cases. The ideal candidate is **hands-on, curious, and adaptable** , with the ability to contribute to both **data pipeline development and AI-driven solutions** . **Key Responsibilities** **Data Engineering** + Support the design and development of **data pipelines** using **Azure Data Factory, Databricks, and related services** . + Develop and maintain **data transformations and workflows** using **SQL and PySpark** . + Work with **structured and unstructured data** to support analytics and AI use cases. + Assist in implementing **data models and optimizing data processing performance** . **GenAI & AI Development** + Contribute to building **Generative AI solutions** using LLMs (e.g., Azure OpenAI, OpenAI). + Assist in developing **RAG pipelines** (data ingestion, embeddings, retrieval). + Support implementation of **basic Agentic AI workflows** using frameworks like LangChain or similar. + Participate in **prompt engineering and testing** of AI applications.



**Databricks & Processing** + Use **Azure Databricks** for data processing and transformation tasks. + Develop and maintain **PySpark-based pipelines** under guidance from senior team members. **Python & Machine Learning** + Write **Python code** for data processing, automation, and basic ML workflows. + Assist in **data preparation, feature engineering, and model evaluation** . **Collaboration & Learning** + Work closely with **senior engineers, architects, and stakeholders** on project delivery. + Actively **learn and adopt new technologies** in Azure and Generative AI. + Contribute to **documentation and knowledge sharing** within the team. **Required Skills & Experience** **Mandatory** + 3-5 years of experience in **data engineering, software engineering, or AI/ML roles** . + Hands-on experience with **Python** . + Working knowledge of **SQL** and data handling. + Exposure to **Microsoft Azure** (Data Factory, storage, or compute services). + Basic experience with **Azure Databricks or PySpark** . + Exposure to **Generative AI concepts** , such as: + LLMs and prompt engineering + Basic understanding of RAG workflows + Experience with **data pipelines (ETL/ELT)** concepts. **Nice to Have** + Hands-on experience with **Azure OpenAI or similar LLM APIs** . + Basic understanding of **machine learning concepts and libraries** . + Experience with **Power BI or data visualization tools** .

📌 Bus. Proc. & Strat. Senior Analyst (Chennai)
🏢 NTT America
📍 Chennai